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In this introduction, we first summarize the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019) held on October 26, 2019 in conjunction with the 18th International Semantic Web Conference (ISWC 2019) in Auckland ...
Zhe He, Cui Tao, Jiang Bian, Rui Zhang
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Semantics for Analytic Containment [PDF]
In 1977, R. B. Angell presented a logic for analytic containment, a notion of “relevant” implication stronger than Anderson and Belnap's entailment. In this paper I provide for the first time the logic of first degree analytic containment, as presented in [2] and [3], with a semantical characterization—leaving higher degree systems for future ...
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Short-Text Semantic Similarity (STSS): Techniques, Challenges and Future Perspectives
In natural language processing, short-text semantic similarity (STSS) is a very prominent field. It has a significant impact on a broad range of applications, such as question–answering systems, information retrieval, entity recognition, text analytics ...
Zaira Hassan Amur+4 more
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Rexplore: unveiling the dynamics of scholarly data [PDF]
Rexplore is a novel system that integrates semantic technologies, data mining techniques, and visual analytics to provide an innovative environment for making sense of scholarly data.
Motta, Enrico, Osborne, Francesco
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Semantic and Metasemantic Notions of Analyticity
© 2014, Canadian Center of Science and Education. All rights reserved. In this article the evolution of main conceptions of analyticity is analyzed. Kant’s criteria for analytic/synthetic distinction are discussed. Frege and Carnap notions of analyticity are set out.
Karimov A., Kazakova V.
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Semantic web technologies for video surveillance metadata [PDF]
Video surveillance systems are growing in size and complexity. Such systems typically consist of integrated modules of different vendors to cope with the increasing demands on network and storage capacity, intelligent video analytics, picture quality ...
De Potter, Pieterjan+3 more
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Semantic Annotation of Experimental Methods in Analytical Chemistry
A major obstacle for reusing and integrating existing data is finding the data that is most relevant in a given context. The primary metadata resource is the scientific literature describing the experiments that produced the data. To stimulate the development of natural language processing methods for extracting this information from articles, we have ...
Magnus Palmblad+8 more
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INTEGRATION OF SEMANTIC 3D CITY MODELS AND 3D MESH MODELS FOR ACCURACY IMPROVEMENTS OF SOLAR POTENTIAL ANALYSES [PDF]
High-resolution 3D mesh models are an inexpensive and increasingly available data source for 3D models of cities and landscapes of high visual quality and rich geometric detail.
B. Willenborg, M. Pültz, T. H. Kolbe
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A Semantic Data Model: Meaning Making from Data Structures in the SQL Server
Information systems designs are increasingly concerned with entity relationships and technical programmatic approaches to solutions architecture as opposed to semantic based, business focused information architecture that places business definitions at ...
Sanjay Ramesh, Anthony Henderson
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SEMANTIC INDEXING OF TERRASAR-X AND IN SITU DATA FOR URBAN ANALYTICS [PDF]
This paper presents the semantic indexing of TerraSAR-X images and in situ data. Image processing together with machine learning methods, relevance feedback techniques, and human expertise are used to annotate the image content into a land use land cover
D. Espinoza Molina, K. Alonso, M. Datcu
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